Dynamic Control of Quality in Production-Inventory Systems

Coordination and Optimization

  • David D. Yao
  • Shaohui Zheng

Part of the Springer Series in Operations Research book series (ORFE)

Table of contents

  1. Front Matter
    Pages i-ix
  2. David D. Yao, Shaohui Zheng
    Pages 1-4
  3. David D. Yao, Shaohui Zheng
    Pages 5-17
  4. David D. Yao, Shaohui Zheng
    Pages 19-36
  5. David D. Yao, Shaohui Zheng
    Pages 37-63
  6. David D. Yao, Shaohui Zheng
    Pages 65-87
  7. David D. Yao, Shaohui Zheng
    Pages 89-107
  8. David D. Yao, Shaohui Zheng
    Pages 109-137
  9. David D. Yao, Shaohui Zheng
    Pages 139-157
  10. David D. Yao, Shaohui Zheng
    Pages 189-205
  11. Back Matter
    Pages 207-218

About this book


Quality control is a scientific means for conducting observations, tests, and inspections and thereby making decisions that improve the perfomance of industrial processes. This book develops a set of dynamic approaches characterized by coordination. In practice, quality control problems almost never exist in isolation. The basic methodology underlying the studies is Markov decision programming. The book can be used as a graduate text for a new course on statistical process control, or as a reference for researchers and practitioners in mathematics, operations research and operations management, quality control, production planning, and logistics.


Operations Research Stochastic model modeling optimization production quality control statistical process control statistics

Authors and affiliations

  • David D. Yao
    • 1
  • Shaohui Zheng
    • 2
  1. 1.Department of Operations Research and Industrial EngineeringColumbia UniversityNew YorkUSA
  2. 2.Department of Information and Systems ManagementHong Kong University of Science and TechnologyKowloonHong Kong

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media New York 2002
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4684-9249-1
  • Online ISBN 978-0-387-22779-5
  • Series Print ISSN 1431-8598
  • Series Online ISSN 2197-1773
  • Buy this book on publisher's site
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